Sony XQ-BT52
Geekbench ML Score
338
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Puffin |
| Upload Date | August 08 2021 10:46 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Sony XQ-BT52 |
| Model ID | Sony XQ-BT52 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.07 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
252
27.0 IPS |
|
|
Image Classification (F16)
|
100% |
345
37.0 IPS |
|
|
Image Classification (I8)
|
80% |
1017
108.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
490
3.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
618
3.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
2608
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
117
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
1181
4.78 IPS |
|
|
Object Detection (F32)
|
100% |
327
11.5 IPS |
|
|
Object Detection (F16)
|
100% |
409
14.4 IPS |
|
|
Object Detection (I8)
|
52% |
781
27.4 IPS |
|
|
Face Detection (F32)
|
100% |
327
3.76 IPS |
|
|
Face Detection (F16)
|
97% |
387
4.45 IPS |
|
|
Face Detection (I8)
|
40% |
1752
20.1 IPS |
|
|
Text Classification (F32)
|
54% |
13
5.21 IPS |
|
|
Text Classification (F16)
|
54% |
14
5.46 IPS |
|
|
Machine Translation (F32)
|
100% |
326
50.3 IPS |
|
|
Machine Translation (F16)
|
100% |
327
50.4 IPS |
